Publications
[* indicates the equal contribution and † indicates the corresponding author about myself]
Book Chapters
Graph Neural Networks in Modern Recommender Systems
Yunfei Chu, Jiangchao Yao, Chang Zhou, Hongxia Yang.
Graph Neural Networks: Foundations, Frontiers, and Applications. Springer.
Federated Learning with Partially Class-Disjoint Data
Ziqing Fan, Jiangchao Yao†.
Federated Learning - A Systematic Review. IntechOpen.
Conference Papers
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
Jiaan Luo, Feng Hong, Jiangchao Yao†, Bo Han, Ya Zhang, Yanfeng Wang.
Advances on Neural Information Processing Systems (NeurIPS'24)
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao†, Ya Zhang, Yanfeng Wang.
Advances on Neural Information Processing Systems (NeurIPS'24)
Uncertainty-aware Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu, Jianing Zhu, Jiangchao Yao†, Bo Han.
Advances on Neural Information Processing Systems (NeurIPS'24)
ReMamber: Referring Image Segmentation with Mamba Twister
Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong†, Ya Zhang, Yanfeng Wang†.
European Conference on Computer Vision (ECCV'24)
Reprogramming Distillation for Medical Foundation Models
Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao†, Ya Zhang, Yanfeng Wang.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'24)
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin li, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
International Conference on Machine Learning (ICML'24)
Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming Lyu, Jiangchao Yao†, Ya Zhang, Ivor W. Tsang, Yanfeng Wang†.
International Conference on Machine Learning (ICML'24)
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan, Shengchao Hu, Jiangchao Yao†, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang†.
International Conference on Machine Learning (ICML'24) [Spotlight]
Mitigating Label Noise on Graphs via Topological Sample Selection
Yuhao Wu, Jiangchao Yao†, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu†.
International Conference on Machine Learning (ICML'24)
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu.
International Conference on Machine Learning (ICML'24)
MVTexGen: Synthesising 3D Textures with Using Multi-View Diffusion
Jinyi Wang, Ben Fei, Huangjie Zheng, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
IEEE Conference on Multimedia Expo (ICME'24) [Oral]
Low-Rank Knowledge Decomposition for Medical Foundation Models
Yuhang Zhou, Haolin li, Siyuan Du, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
International Conference on Computer Vision and Pattern Recognition (CVPR'24)
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao†, Bo Han, Ya Zhang, Yanfeng Wang†.
International Conference on Computer Vision and Pattern Recognition (CVPR'24)
Enhancing Cross-domain Click-through Rate Prediction via Explicit Feature Augmentation
Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao.
The Web Conference (WWW'24)
On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao†, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang†.
International Conference on Learning Representation (ICLR'24)
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han.
International Conference on Learning Representation (ICLR'24)
Less is More: One-shot Link Prediction on Large-scale Knowledge Graphs
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han.
International Conference on Learning Representation (ICLR'24)
Long-tailed Diffusion Models with Oriented Calibration
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang.
International Conference on Learning Representation (ICLR'24)
Domain-Inspired Sharpness-Aware Minimization under Domain Shifts
Ruipeng Zhang, Ziqing Fan, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
International Conference on Learning Representation (ICLR'24)
Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities
Linyu Xing, Mengxi Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang.
International Conference on Acoustics, Speech and Signal Processing (ICASSP'24)
Combating Representation Learning Disparity with Geometric Harmonization
Zhihan Zhou, Jiangchao Yao†, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang†.
Advances on Neural Information Processing Systems (NeurIPS'23) [Spotlight]
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang.
Advances on Neural Information Processing Systems (NeurIPS'23)
Combating Bilateral Edge Noise for Robust Link Prediction
Zhanke Zhou, Jiangchao Yao†, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han†.
Advances on Neural Information Processing Systems (NeurIPS'23)
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao†, Ya Zhang, Yanfeng Wang.
Advances on Neural Information Processing Systems (NeurIPS'23)
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han.
Advances on Neural Information Processing Systems (NeurIPS'23)
Zero-shot Composed Text-Image Retrieval
Yikun Liu, Jiangchao Yao, Yanfeng Wang, Ya Zhang, Weidi Xie.
British Machine Vision Conference (BMVC'23)
GRACE: Enhancing Federated Learning for Medical Imaging with Generalized and Personalized Gradient Correction
Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'23)
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao†, Quanming Yao, Bo Han†.
International Conference on Machine Learning (ICML'23)
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu, Hengzhuang Li, Jiangchao Yao†, Tongliang Liu, Jianliang Xu, Bo Han†.
International Conference on Machine Learning (ICML'23)
Exploring Model Dynamics for Accumulative Poisoning Discovery
Jianing Zhu, Xiawei Guo, Jiangchao Yao†, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han†.
International Conference on Machine Learning (ICML'23)
Federated Domain Generalization with Generalization Adjustment
Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang.
International Conference on Computer Vision and Pattern Recognition (CVPR'23)
Class-Balancing Diffusion Models
Yiming Qin, Huangjie Zheng, Jiangchao Yao†, Mingyuan Zhou, Ya Zhang.
International Conference on Computer Vision and Pattern Recognition (CVPR'23)
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
Jianing Zhu, Jiangchao Yao†, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han†.
International Conference on Learning Representation (ICLR'23)
Long-tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong, Jiangchao Yao†, Zhihan Zhou, Ya Zhang, Yanfeng Wang†.
International Conference on Learning Representation (ICLR'23)
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chu Cheung, Simon See, Bo Han, Xiaowen Chu.
AAAI Conference on Artificial Intelligence (AAAI'23)
FedSkip: Combating Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan, Yanfeng Wang†, Jiangchao Yao†, Lingjuan Lyu, Ya Zhang, Qi Tian.
International Conference on Data Mining (ICDM'22)
Contrastive Learning with Boosted Memorization
Zhihan Zhou, Jiangchao Yao†, Yanfeng Wang†, Bo Han, Ya Zhang.
International Conference on Machine Learning (ICML'22)
Device-Cloud Collaborative Recommendation via Meta Controller
Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'22)
PEAR: Photographic Embedding for Aesthetic Rating
Hao Wu, Jiangchao Yao.
International Conference on Acoustics, Speech and Signal Processing (ICASSP'22)
Reliable Adversarial Distillation with Unreliable Teachers
Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang.
International Conference on Learning Representation (ICLR'22)
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu.
International Conference on Web Search and Data Mining (WSDM'21)
Device-Cloud Collaborative Learning for Recommendation
Jiangchao Yao*, Feng Wang*, Kunyang Jia*, Bo Han, Jingren Zhou, Hongxia Yang.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'21)
Cooperative Learning for Noisy Supervision
Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang.
International Conference on Multimedia and Expo (ICME'21) [Oral]
Learning with Group Noise
Qizhou Wang*, Jiangchao Yao*, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han.
AAAI Conference on Artificial Intelligence (AAAI'21)
Bayes EMbedding (BEM) Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang.
International Conference on Information and Knowledge Management (CIKM'19)
Collaborative Label Correction via Entropy Thresholding
Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang.
International Conference on Data Mining (ICDM'19)
How Does Disagreement Help Generalization against Label Corruption?
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
International Conference on Machine Learning (ICML'19)
Understanding Vaes in Fisher-Shannon Plane
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, and Jia Wang.
AAAI Conference on Artificial Intelligence (AAAI'19)
Safeguarded Dynamic Label Regression for Noisy Supervision
Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, and Jun Sun.
AAAI Conference on Artificial Intelligence (AAAI'19)
Collaborative Learning for Weakly Supervised Object Detection
Jiajie Wang, Jiangchao Yao, Ya Zhang, and Rui Zhang.
International Joint Conference on Artificial Intelligence (IJCAI'18)
Masking: A New Perspective of Noisy Supervision
Bo Han*, Jiangchao Yao*, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, and Masashi Sugiyama.
Advances on Neural Information Processing Systems (NeurIPS'18)
Describing Geographical Characteristics with Social Images
Huangjie Zheng, Jiangchao Yao, Ya Zhang.
International Conference on Multimedia Modeling (MMM'17) [Oral]
Discovering User Interests from Social Images
Jiangchao Yao, Ya Zhang, Ivo W. Tsang, Jun Sun.
International Conference on Multimedia Modeling (MMM'17) [Oral]
Preference-Aware Recommendation Based on Categorical Information
Zhiwei Rao, Jiangchao Yao, Ya Zhang, Rui Zhang.
International Conference on Machine Learning and Applications (ICMLA'16)
Online Learning Algorithm for Collective LDA
Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang.
International Conference on Machine Learning and Applications (ICMLA'15)
Joint Latent Dirichlet Allocation for Non-IID Social Tags
Jiangchao Yao, Ya Zhang, Zhe Xu, Jun Sun, Jun Zhou, Xiao Gu.
International Conference on Multimedia and Expo (ICME'15) [Oral]
Journal Articles
Sandbox: Safeguarded Multi-label Learning through Safe Optimal Transport
Lefei Zhang, Geng Yu, Jiangchao Yao†, Yew-soon Ong, Ivor W. Tsang, James T. Kwok.
Machine Learning Journal (MLJ 2024)
Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning
Yuhang Zhou, Jiangchao Yao†, Feng Hong, Ya Zhang, Yanfeng Wang.
IEEE Transactions on Image Processing (TIP 2024)
Multi-Modal Prototypes for Open-World Semantic Segmentation
Yuhuan Yang, Chaofan Ma, Chen Ju, Fei Zhang, Jiangchao Yao†, Ya Zhang, Yanfeng Wang.
International Journal of Computer Vision (IJCV 2024)
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
IEEE Transactions on Medical Imaging (TMI 2024)
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
Ziqing Fan, Jiangchao Yao†, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang†.
Transactions on Machine Learning Research (TMLR 2023)
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Transactions on Machine Learning Research (TMLR 2023)
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-seng Chua, Fei Wu.
IEEE Transactions on Knowledge and Data Engineering (TKDE 2023)
Server-Client Collaborative Distillation for Federated Reinforcement Learning
Weiming Mai, Jiangchao Yao†, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han†.
ACM Transactions on Knowledge Discovery from Data (TKDD 2023).
Latent Class-Conditional Noise Model
Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang.
IEEE Transactions on Knowledge and Data Engineering (TKDE 2022) [ESI highly cited]
CogKR: Cognitive Graph for Multi-hop Knowledge Reasoning
Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Leitian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang.
IEEE Transactions on Knowledge and Data Engineering (TKDE 2021)
Learning on Attribute-Missing Graphs
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, and Ivor W. Tsang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2020).
Decoupled Variational Embedding for Signed Directed Networks
Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, and Yanfeng Wang.
ACM Transactions on the Web (TWEB) 15, no. 1 (2020): 1-31.
Deep Learning from Noisy Labels with Quality Embedding
Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, and Rui Zhang.
IEEE Transactions on Image Processing (TIP) 28.4 (2019): 1909-1922.
Joint Latent Dirichlet Allocation for Social Tags
Jiangchao Yao, Yanfeng Wang, Ya Zhang, Jun Sun, and Jun Zhou.
IEEE Transactions on Multimedia (TMM) 20.1 (2018): 224-237.
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